A novel clustering approach and adaptive SVM classifier for intrusion detection in WSN: A data mining concept.
Gautam M. BorkarLeena H. PatilDilip DalgadeAnkush HutkePublished in: Sustain. Comput. Informatics Syst. (2019)
Keyphrases
- intrusion detection
- svm classifier
- data mining
- anomaly detection
- support vector machine
- support vector machine svm
- intrusion detection system
- network security
- image classification
- support vector
- network intrusion detection
- wireless sensor networks
- network traffic
- feature vectors
- high detection rate
- clustering algorithm
- fraud detection
- alert correlation
- data mining techniques
- information security
- network intrusion
- detecting anomalous
- malicious code detection
- outlier detection
- kernel function
- unsupervised learning
- knn
- cyber security
- training set
- k nearest neighbor
- k means
- network intrusions
- energy consumption
- training data
- credit card fraud detection
- network attacks
- feature selection
- data sets